During the GTAW process, the arc length changes due to the uneven surface of the workpiece and the loss of the tungsten electrode. In order to keep the arc length stable and improve the welding quality, this paper proposed the application of an adaptive Kalman filter as a signal preprocessor for automatic voltage control. In this paper, a linear relationship model between arc voltage and arc length in DC pulse GTAW was established, and Kalman filter and adaptive Kalman filter were applied to the welding process. Experiments showed that the arc length adaptive method based on adaptive Kalman filter could significantly improve the arc length stability. By using the adaptive Kalman filter algorithm, the standard deviation of the arc length was reduced by 35.4 %.

在GTAW工艺中，电弧长度由于工件的不平整表面和钨电极的损耗而改变。为了保持电弧长度稳定并提高焊接质量，本文提出了一种自适应卡尔曼滤波器作为自动电压控制信号预处理器的应用。建立了直流脉冲GTAW电弧电压与电弧长度的线性关系模型，并将卡尔曼滤波器和自适应卡尔曼滤波器应用于焊接过程。实验表明，基于自适应卡尔曼滤波器的电弧长度自适应方法可以显着提高电弧长度的稳定性。通过使用自适应卡尔曼滤波算法，电弧长度的标准偏差降低了35.4％。